Comprehensive quality assessment of Xiaoer Chiqiao Qingre granules by fingerprinting technology combined with multi-component quantitative methods

To enhance the safety, efficacy, and quality consistency of herbal compound preparation (HCP), 20 batches of Xiaoer Chiqiao Qingre granules (XCQG) were selected as the research subject, and established a comprehensive evaluation strategy for the quality of XCQG. Firstly, the fingerprint peaks of XCQG at two wavelengths were recorded, and the purity of the fingerprint peaks was analyzed by dual-wavelength absorbance coefficient ratio spectrum (DWAR). Subsequently, quantitative analysis of multi-components by single marker (QAMS) and multi-markers assay by monolinear method (MAML) were employed to determine the content of the four major compounds of XCQG and fit the obtained results. The results showed that both methods correlated excellent with standard curve method (SCM). Furthermore, differential scanning calorimetry (DSC) and fourier transform infrared (FTIR) spectroscopy quantized fingerprinting (QFP) were developed to investigate complete thermal change and structural analysis of components. The comprehensive linear quantitative fingerprint method (CLQFM) was developed to evaluate fingerprints, enabling successful qualitative and quantitative classification of all samples into distinct quality grades. Overall, this study promotes the dual control of fingerprint peak purity and thermal stability of XCQG, while offering scientific insights into its chemical properties.

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Publication Details

Journal
Journal of Chromatography A
Published
2025-06-16
DOI
https://doi.org/10.1016/j.chroma.2025.466140
Citations
2
Primary Topic
Traditional Chinese Medicine Analysis
Type
article
Field-Weighted Citation Impact
4.76

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article

Comprehensive quality assessment of Xiaoer Chiqiao Qingre granules by fingerprinting technology combined with multi-component quantitative methods

Liping Zhao, Hui Yan, Guoxiang Sun, Xiangfei Sun
2 citations
Journal of Chromatography A
Traditional Chinese Medicine Analysis
4.76
article

Comprehensive quality assessment of Xiaoer Chiqiao Qingre granules by fingerprinting technology combined with multi-component quantitative methods

Liping Zhao, Hui Yan, Guoxiang Sun, Xiangfei Sun
article en
2 citations

Abstract

To enhance the safety, efficacy, and quality consistency of herbal compound preparation (HCP), 20 batches of Xiaoer Chiqiao Qingre granules (XCQG) were selected as the research subject, and established a comprehensive evaluation strategy for the quality of XCQG. Firstly, the fingerprint peaks of XCQG at two wavelengths were recorded, and the purity of the fingerprint peaks was analyzed by dual-wavelength absorbance coefficient ratio spectrum (DWAR). Subsequently, quantitative analysis of multi-components by single marker (QAMS) and multi-markers assay by monolinear method (MAML) were employed to determine the content of the four major compounds of XCQG and fit the obtained results. The results showed that both methods correlated excellent with standard curve method (SCM). Furthermore, differential scanning calorimetry (DSC) and fourier transform infrared (FTIR) spectroscopy quantized fingerprinting (QFP) were developed to investigate complete thermal change and structural analysis of components. The comprehensive linear quantitative fingerprint method (CLQFM) was developed to evaluate fingerprints, enabling successful qualitative and quantitative classification of all samples into distinct quality grades. Overall, this study promotes the dual control of fingerprint peak purity and thermal stability of XCQG, while offering scientific insights into its chemical properties.

Journal of Chromatography AVol. 1757
Shenyang Pharmaceutical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Traditional Chinese Medicine Analysis
4.76
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Comprehensive quality assessment of Xiaoer Chiqiao Qingre granules by fingerprinting technology combined with multi-component quantitative methods — Liping Zhao, Hui Yan, et al. · Journal of Chromatography A (2025) | TGRS Research Map | TGRS